Theory Lunch Seminar

Wednesday, December 7, 2016 - 12:00pm to 1:00pm


ASA Conference Room 6115 Gates & Hillman Centers


LI-YANG TAN, Research Assistant Professor

We consider the fundamental derandomization problem of deterministically finding a satisfying assignment to a CNF formula that has many satisfying assignments. We give a deterministic algorithm which, given an n-variable poly(n)-clause CNF formula F that has ∣F-1(1)∣≥ε2n, runs in time nO~(loglogn)2 for ε≥1/\polylog(n) and outputs a satisfying assignment of F. Prior to our work the fastest known algorithm for this problem was simply to enumerate over all seeds of a pseudorandom generator for CNFs; using the best known PRGs for CNFs [DETT10], this takes time nΩ~(logn) even for constant ε. Joint work with Rocco Servedio.

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